Method for detecting population density of cryptolestes ferrugineus based on co2 release rate

Abstract

The present disclosure provides a method for detecting a population density of Cryptolestes ferrugineus based on a CO2 release rate, and belongs to the technical field of pest detection in stored grains. In the present disclosure, the method includes: constructing a prediction model of a population density of Cryptolestes ferrugineus based on a relationship between different stored grain temperatures, stored grain water contents, and CO2 release rates in the environment and the population density of the Cryptolestes ferrugineus; measuring the stored grain temperature and the CO2 release rate in the environment, substituting measured values into the prediction model of the population density of the Cryptolestes ferrugineus for calculation to obtain the population density of the Cryptolestes ferrugineus in a grain storage environment; and determining a pest-carrying grain grade. The method can eliminate an interference of dead pests and death-feigning pests, and can also detect borer pests.

1 . A method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate, comprising:
 constructing a prediction model of a population density of  Cryptolestes ferrugineus  based on a relationship between different stored grain temperatures, stored grain water contents, as well as CO 2  release rates in the environment and the population density of the  Cryptolestes ferrugineus ; and   measuring the stored grain temperature and the CO 2  release rate in the environment, substituting measured values into the prediction model of the population density of the  Cryptolestes ferrugineus  for calculation to obtain the population density of the  Cryptolestes ferrugineus  in a grain storage environment.   
     
     
         2 - 10 . (canceled) 
     
     
         11 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 1 , wherein when the stored grain water content is 11.5% to 12.5%, the prediction model of the population density of the  Cryptolestes ferrugineus  is shown in formula I: 
       
         
           
           
               
               
           
         
         wherein, R 2 =0.94022; X is the temperature in ° C.; Y is the CO 2  release rate in ppm/h; and Z is the population density of the  Cryptolestes ferrugineus  in insects/kg. 
       
     
     
         12 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 1 , wherein when the stored grain water content is 12.6% to 13.5%, the prediction model of the population density of the  Cryptolestes ferrugineus  is shown in formula II: 
       
         
           
           
               
               
           
         
         wherein, R 2 =0.93665; X is the temperature in ° C.; Y is the CO 2  release rate in ppm/h; and Z is the population density of the  Cryptolestes ferrugineus  in insects/kg. 
       
     
     
         13 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 1 , wherein when the stored grain water content is 13.6% to 14.5%, the prediction model of the population density of the  Cryptolestes ferrugineus  is shown in formula III: 
       
         
           
           
               
               
           
         
         wherein, R 2 =0.93604; X is the temperature in ° C.; Y is the CO 2  release rate in ppm/h; and Z is the population density of the  Cryptolestes ferrugineus  in insects/kg. 
       
     
     
         14 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 1 , wherein the temperature comprises 25° C. to 35° C. 
     
     
         15 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 11 , wherein the temperature comprises 25° C. to 35° C. 
     
     
         16 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 12 , wherein the temperature comprises 25° C. to 35° C. 
     
     
         17 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 13 , wherein the temperature comprises 25° C. to 35° C. 
     
     
         18 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 14 , wherein in the  Cryptolestes ferrugineus , adults and larvae are at a quantity ratio of 1:(4.93-8.37). 
     
     
         19 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 15 , wherein in the  Cryptolestes ferrugineus , adults and larvae are at a quantity ratio of 1:(4.93-8.37). 
     
     
         20 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 16 , wherein in the  Cryptolestes ferrugineus , adults and larvae are at a quantity ratio of 1:(4.93-8.37). 
     
     
         21 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 17 , wherein in the  Cryptolestes ferrugineus , adults and larvae are at a quantity ratio of 1:(4.93-8.37). 
     
     
         22 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 1 , wherein the stored grain comprises wheat. 
     
     
         23 . The method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate according to  claim 22 , wherein a pest in the stored grain is the  Cryptolestes ferrugineus.    
     
     
         24 . A method for determining a pest-carrying grain grade by using a method for detecting a population density of  Cryptolestes ferrugineus  based on a CO 2  release rate. 
     
     
         25 . The method according to  claim 24 , wherein the pest-carrying grain grade comprises a grade of basically no pest-carrying grain, a grade of general pest-carrying grain, and a grade of serious pest-carrying grain in unprocessed wheat grains.